AI Agent Skills

Audit or repair ML experiment reproducibility and review whether code changes preserve recorded outputs. Use for reproducibility blockers, before-and-after experiment ch…

Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

Adversarially audit changed analysis code against a base ref, hunting for correctness errors in sample construction, merges, variable construction, silent failures, and…

Review research code for reproducibility and quality, extract the paper's main empirical claims, compare paper to code, and write a constructive markdown report. Designe…

Compare a paper's claims against its public codebase. Use when the user asks to audit a paper, check code-claim consistency, verify reproducibility of a specific paper,…

Run read-only SQL against BigQuery public datasets with local result capture, cost safeguards, and reproducibility

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while…

Use when an award run needs external evidence — literature, datasets, benchmarks, domain constants, prior-art checks, or citation verification — with combined built-in W…

Execute deterministic, reproducible historical backtests from a start date, end date, and strategy concept using the Alpaca CLI plus agent-written workspace code. Use wh…